Data from a flexible framework to assess patterns and drivers of beta diversity across spatial scales

The patterns and underlying ecological (e.g., environmental filtering) and historical (e.g., priority effects) drivers of beta diversity are scale-dependent but generally difficult to distinguish and rarely explored with a sufficiently broad range of spatial scales. We propose a general scale-explicit framework to assess and contrast the patterns and drivers of beta diversity across hierarchical spatial scales ranging from within fine-scale ecoregion-scale to among broad-scale ecoregion-scale. By applying this framework to aquatic macroinvertebrate datasets, we show that beta diversity generally increases with spatial extent. With an increasing spatial extent, beta diversity shifts from being more influenced by environmental filtering to being more influenced by recent historical factors (i.e., past beta diversity). Such recent historical effects may result from past environmental variation rather than priority effects. We also found that the small-scale and large-scale environmental dr...

β多样性（beta diversity）的分布模式及其潜在生态驱动因子（如环境过滤（environmental filtering））与历史驱动因子（如优先效应（priority effects））具有尺度依赖性，但通常难以区分，且极少在足够广泛的空间尺度范围内开展相关研究。我们提出了一个通用的显式尺度框架，用于评估并对比覆盖从精细生态区内部到跨大尺度生态区的层级空间尺度下的β多样性分布模式与驱动因子。将该框架应用于水生大型无脊椎动物（aquatic macroinvertebrate）数据集后，我们发现β多样性通常随空间范围的扩大而升高。随着空间范围的扩张，β多样性的主导驱动因子从环境过滤逐渐转向近期历史因子（即历史β多样性）。此类近期历史效应可能源于过往环境变异，而非优先效应。我们还发现，小尺度与大尺度的环境驱……